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Power Optimization in Hybrid Renewable Energy Standalone System using SMC-ANFISKALVINATHAN, V.   , CHITRA, S. |
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Author keywords
performance analysis, hybrid system, power management, photo voltaic, fuel cell
References keywords
energy(16), system(12), power(12), hybrid(12), cell(12), fuel(11), solar(8), control(8), management(7), voltage(6)
Blue keywords are present in both the references section and the paper title.
About this article
Date of Publication: 2022-08-31
Volume 22, Issue 3, Year 2022, On page(s): 69 - 78
ISSN: 1582-7445, e-ISSN: 1844-7600
Digital Object Identifier: 10.4316/AECE.2022.03008
Web of Science Accession Number: 000861021000008
SCOPUS ID: 85137716444
Abstract
The integration of renewable energy sources is challenging now-a-days because of intermittent nature of solar radiation. Particularly in hybrid renewable energy system, it is required to incorporate an intelligent control algorithm to optimize the time duration at transient condition and also ensures the stable operation. This paper is aimed at integrating hybrid renewable energy system includes partial shaded solar photovoltaic system and Proton Exchange Membrane Fuel Cell (PEMFC) at constant temperature to supply the stand-alone DC load. Due to the dynamic DC source, an Energy Management System (EMS) is used to get the stable output. The system includes interleaving soft switching boost converters (SSBC's) is controlled by combined Slide Mode Controller with trained Artificial Neuro Fuzzy System (SMC-ANFIS). The proposed Hybrid system is modeled and simulated using MATLAB Simulink platform. The tested parameters are obtained in terms of voltage, current, power, speed, and torque. The simulated result of proposed system with SMC-ANFIS-EMS is compared with conventional SMC-EMS and SMC-ANN-EMS to obtain optimal output. From the performance analysis, the SMC-ANFIS-EMS provides better output and control. |
| References | | | Cited By «-- Click to see who has cited this paper |
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Faculty of Electrical Engineering and Computer Science
Stefan cel Mare University of Suceava, Romania
All rights reserved: Advances in Electrical and Computer Engineering is a registered trademark of the Stefan cel Mare University of Suceava. No part of this publication may be reproduced, stored in a retrieval system, photocopied, recorded or archived, without the written permission from the Editor. When authors submit their papers for publication, they agree that the copyright for their article be transferred to the Faculty of Electrical Engineering and Computer Science, Stefan cel Mare University of Suceava, Romania, if and only if the articles are accepted for publication. The copyright covers the exclusive rights to reproduce and distribute the article, including reprints and translations.
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Disclaimer: Whilst every effort is made by the publishers and editorial board to see that no inaccurate or misleading data, opinions or statements appear in this journal, they wish to make it clear that all information and opinions formulated in the articles, as well as linguistic accuracy, are the sole responsibility of the author.
